Research Article
Intelligent Malaysian Sign Language Translation System Using Convolutional-Based Attention Module with Residual Network
Table 2
Comparison table for CBAM-2DResNet “within blocks” and “before classifier.”
| | Metrics | CBAM-2DResNet “within blocks” | CBAM-2DResNet “before classifier” |
| | Training duration | 16040.79 seconds | 4860.23 seconds | | Lowest validation loss | 0.0214 | 0.0210 | | Highest validation accuracy | 99.29% | 99.39% | | F1-score achieved | 0.99 | 0.99 | | Generalisation performance | Good fit | Good fit |
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